Descriptive Analytics, which use data aggregation and data mining to provide insight into the past and answer: “What has happened?”. Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample…

Descriptive analysis or statistics does exactly what the name implies they “Describe”, or summarize raw data and make it something that is interpretable by humans. They are analytics that describe the past. The past refers to any point of time that an event has occurred, whether it is one minute ago, or one year ago. Descriptive analytics are useful because they allow us to learn from past behaviors, and understand how they might influence future outcomes.

Real time analytics services and Real time analytics consulting by AQ4

Real-time analytics is the use of data and related resources as soon as the data enters the system. Real-time analytics is also known as real-time analysis, real-time data integration and real-time intelligence.

AQ4 provides real time analytics using variety of tools depending on the case scenario:

Apache Kafka is an open-source stream-processing software platform developed in Scala and Java. Apache Kafka is based on the commit log, and it allows users to subscribe to it and publish data to any number of systems or real-time applications.

Apache Flume is a distributed, reliable, and available software for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.

Apache Flink provides a high-throughput, low-latency streaming engine as well as support for event-time processing and state management. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. Flink provide data source and sink connectors to systems such as Amazon Kinesis, Apache Kafka, HDFS, Apache Cassandra, and Elasticsearch

Cloudera

Cloudera was the first one to develop and distribute Apache Hadoop based software and is still the largest organization
with the largest user base with many customers to their belt. The Cloudera Management suite provides the users
reduced deployment time, real time node counts etc.

Hortonworks

Hortonworks is the only vendor to provide a 100% open source distribution of Apache Hadoop with no proprietary
software’s tagged with it.

Spark

Apache Spark is an open-source cluster-computing framework. Originally developed at the University of California,
Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained
it since.

AMR

Amazon Elastic MapReduce (Amazon EMR) is a sub-project under Amazon Web Services (AWS). It is a web service that
allows us to manage those huge Big Data datasets. Amazon EMR with its array full of security features makes it
look promising in securing and also to reliably handle big data, log analysis, web indexing, data warehousing,
machine learning, financial analysis, scientific simulation, and bioinformatics.

Data Warehousing Services

AQ4’s Data Warehousing services and Business Intelligence services enable customers to Process data effectively
and efficiently and help them to get valuable insights, take decisions and improve Productivity and performance

We leverage cutting edge, proven and tested methodologies and technologies and a flexible delivery model to provide
custom solutions to our customers.

Some of ETL tools we use for DWH are:

Informatica

Talend

Pentaho – Pentaho Data Integrator – PDI / Kettle

IBM DataStage

SAP BODS

Some of the Analytical Databases we use for Big data and faster performance are :

Amazon Redshift

Teradata

Cloudera

HP Vertica

Our DWH and ETL services include pulling and connecting to data from various sources system – structured and unstructured
and semi structured data sets , putting into staging area, cleaning and formatting the raw data and building
data marts and keep it ready for consumption.

Mobile BI

AQ4 offers variety of Mobile BI services and Mobile App development such as development of Mobile dashboards,
Mobile reports and providing real time analytics using KPIs on Mobile devises

Web Based Mobile BI

Here, users access the application through their device’s Web-browser Users will have a consistent experience across both
mobile and desktop versions of the application, with access to similar or identical data and features.

App Based Mobile BI

Since this is native app, the user experience is usually better overall than accessing a BI application through a mobile
Web-browser.

Talend

Oracle Data Integrator - ODI

Delivers high-performance data movement and transformation among enterprise platforms with its open and integrated
E-LT architecture. Including built-in connectivity to all major databases, data warehouses, service-oriented
architectures.

IBM Cognos

Cognos Data Manager can read and write data on multiple tables or files in any degree of data partitioning, with
inflight repartitioning, never landing to disk regardless of the number of endpoints.